Digital_Business & Enterprise Application

About Sembcorp

Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.

Purpose and Scope

Lead the design, delivery, and continuous improvement of secure, scalable full-stack applications, microservices, cloud-native solutions, and AI-enabled capabilities for Group Corporate digital initiatives. Guide a team of internal engineering team with primary delivery on Microsoft Azure while remaining adaptable to adjacent enterprise platforms, integration technologies, and evolving multi-platform solution needs.

Key Roles and Responsibilities

- Lead the end-to-end architecture, engineering, and delivery of full-stack applications and microservices-based solutions using .NET, JavaScript frameworks, Python, APIs, containers, and cloud-native Azure services.

- Define technical architecture standards, engineering guardrails, and solution design patterns to ensure quality, scalability, security, maintainability, resilience, and performance across enterprise platforms.

- Design, deploy, and optimise microservices architectures, including service decomposition, API integration, event-driven patterns, observability, and fault-tolerant distributed system practices.

- Lead and mentor software engineering teams, coordinate delivery plans, review code, and build technical capability across full-stack development, DevOps, and cloud engineering practices.

- Design, deploy, and optimise AI agents and intelligent workflow solutions integrated with enterprise applications, data platforms, and business processes.

- Build and maintain CI/CD pipelines, source control standards, release workflows, infrastructure automation, and environment management using Azure DevOps and related tooling.

- Collaborate with product, business, data, cybersecurity, and infrastructure stakeholders to translate business requirements into solution architectures, delivery roadmaps, and implementation plans.

- Integrate applications with Azure services such as messaging, data platforms, and analytics environments including Microsoft Fabric or Databricks where applicable.

- Oversee application lifecycle management, production support, incident resolution, technical risk mitigation, and continuous improvement of development, deployment, and operational practices.

- Contribute hands-on to software engineering tasks including backend services, frontend components, API development, automated testing, deployment automation, and technical documentation.

Qualifications & Requirements

- Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.

- Proven experience in a Tech Lead, Lead Developer, or Senior Full Stack Engineer role delivering enterprise-grade software solutions.

- Strong hands-on expertise in .NET and JavaScript-based full-stack development.

- Demonstrated experience designing, deploying, and supporting microservices architecture in enterprise or large-scale digital environments.

- Experience designing and deploying solutions on Microsoft Azure, including source repositories, CI/CD pipelines, integration services, and container-based deployment approaches.

- Experience deploying AI agents, intelligent automation, or applied AI solutions in production or near-production environments.

- Familiarity with enterprise data platforms such as Microsoft Fabric or Databricks.

- Working knowledge of Python for automation, AI integration, data processing, or backend services is an advantage.

- Demonstrated experience leading software engineering teams, conducting code reviews, and driving delivery outcomes across multiple workstreams.

- Strong understanding of software architecture, distributed systems, API design, cloud security, DevOps, testing strategy, observability, and operational support practices.

- Ability to engage cross-functional stakeholders, communicate technical concepts clearly, and balance strategic leadership with hands-on delivery.

- Industry-standard certifications are advantageous, including Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate, Azure Fundamentals, Kubernetes-related certifications, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, or comparable cloud, AI deployment, and solution architecture certifications.

- Strong written and spoken English proficiency is required to perform the role, including documentation, stakeholder communication, and collaboration across business and technical teams.

Our Culture at Sembcorp

At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition. We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.